FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3178434315> ?p ?o ?g. }

• W3178434315 endingPage "103137" @default.
• W3178434315 startingPage "103137" @default.
• W3178434315 abstract "This paper presents a multi-agent-based algorithm for optimal power scheduling of multi-agent-based medium voltage direct current shipboard power systems of all-electric ships. shipboard power system is the crucial part of every all-electric ship due to its vital duty in generating electrical energy for various parts of the ship, particularly in long-distance travels. Moreover, the shipboard power system should be efficiently operated to reduce operating costs and energy to serve heavy loads for long periods of time. Thus, a system with resilient, secure, and efficient performance is needed to operate this essential power system. Traditionally, shipboard power systems were operated using centralized systems that were threatened by single-point failures, security issues, and central communication and computation burden. Considering the existing concerns about operating centralized systems, a multi-agent-based operation system could be best fitted for this goal. To this aim, this paper introduces a new multi-agent-based operation system based on the primal-dual method of multipliers, in which the generator stations are operated by the communication of agents with each other and without any central commander. The presence of energy storage systems is considered to enhance the reliability of the proposed power system. Furthermore, single- and twin-shaft turbogenerators are assumed to construct the main power generators of the shipboard power system as reliable, efficient, and maneuverable types of generators. The local speed and efficiency of the individual turbogenerators are also calculated using the proposed multi-agent-based method. The proposed method is simulated on a five-zone shipboard power test system in the presence of an energy storage systems and five turbogenerators, and is compared with a precise centralized scheme and a well-known multi-agent-based method during a 24-h time period. The simulation results demonstrate the accuracy of the proposed method with the total 24-h scheduling cost error of 0.2% in comparison with the optimal results gained by the centralized method. Besides, the proposed method decreases the error in calculating the total 24-h scheduling cost by almost 71% in fewer required iterations compared to the other well-known multi-agent-based scheme." @default.
• W3178434315 created "2021-07-19" @default.
• W3178434315 creator A5013980122 @default.
• W3178434315 creator A5014298654 @default.
• W3178434315 creator A5033355447 @default.
• W3178434315 date "2021-11-01" @default.
• W3178434315 modified "2023-09-25" @default.
• W3178434315 title "Multi-agent-based optimal power scheduling of shipboard power systems" @default.
• W3178434315 cites W1176164761 @default.
• W3178434315 cites W2590701476 @default.
• W3178434315 cites W2625646018 @default.
• W3178434315 cites W2765662666 @default.
• W3178434315 cites W2768582157 @default.
• W3178434315 cites W2780630474 @default.
• W3178434315 cites W2803001620 @default.
• W3178434315 cites W2803180651 @default.
• W3178434315 cites W2844358035 @default.
• W3178434315 cites W2900920157 @default.
• W3178434315 cites W2904155563 @default.
• W3178434315 cites W2956054538 @default.
• W3178434315 cites W2984487150 @default.
• W3178434315 cites W2986189117 @default.
• W3178434315 cites W3003547567 @default.
• W3178434315 cites W3035389228 @default.
• W3178434315 cites W3043802729 @default.
• W3178434315 cites W3089522397 @default.
• W3178434315 cites W3114056727 @default.
• W3178434315 doi "https://doi.org/10.1016/j.scs.2021.103137" @default.
• W3178434315 hasPublicationYear "2021" @default.
• W3178434315 type Work @default.
• W3178434315 sameAs 3178434315 @default.
• W3178434315 citedByCount "4" @default.
• W3178434315 countsByYear W31784343152022 @default.
• W3178434315 countsByYear W31784343152023 @default.
• W3178434315 crossrefType "journal-article" @default.
• W3178434315 hasAuthorship W3178434315A5013980122 @default.
• W3178434315 hasAuthorship W3178434315A5014298654 @default.
• W3178434315 hasAuthorship W3178434315A5033355447 @default.
• W3178434315 hasConcept C121332964 @default.
• W3178434315 hasConcept C127413603 @default.
• W3178434315 hasConcept C133731056 @default.
• W3178434315 hasConcept C163258240 @default.
• W3178434315 hasConcept C171146098 @default.
• W3178434315 hasConcept C200601418 @default.
• W3178434315 hasConcept C206729178 @default.
• W3178434315 hasConcept C21547014 @default.
• W3178434315 hasConcept C40293303 @default.
• W3178434315 hasConcept C41008148 @default.
• W3178434315 hasConcept C62520636 @default.
• W3178434315 hasConcept C89227174 @default.
• W3178434315 hasConceptScore W3178434315C121332964 @default.
• W3178434315 hasConceptScore W3178434315C127413603 @default.
• W3178434315 hasConceptScore W3178434315C133731056 @default.
• W3178434315 hasConceptScore W3178434315C163258240 @default.
• W3178434315 hasConceptScore W3178434315C171146098 @default.
• W3178434315 hasConceptScore W3178434315C200601418 @default.
• W3178434315 hasConceptScore W3178434315C206729178 @default.
• W3178434315 hasConceptScore W3178434315C21547014 @default.
• W3178434315 hasConceptScore W3178434315C40293303 @default.
• W3178434315 hasConceptScore W3178434315C41008148 @default.
• W3178434315 hasConceptScore W3178434315C62520636 @default.
• W3178434315 hasConceptScore W3178434315C89227174 @default.
• W3178434315 hasLocation W31784343151 @default.
• W3178434315 hasOpenAccess W3178434315 @default.
• W3178434315 hasPrimaryLocation W31784343151 @default.
• W3178434315 hasRelatedWork W2224196415 @default.
• W3178434315 hasRelatedWork W2318139177 @default.
• W3178434315 hasRelatedWork W2348144877 @default.
• W3178434315 hasRelatedWork W2356147391 @default.
• W3178434315 hasRelatedWork W2365503773 @default.
• W3178434315 hasRelatedWork W2373087639 @default.
• W3178434315 hasRelatedWork W2374909047 @default.
• W3178434315 hasRelatedWork W2392092726 @default.
• W3178434315 hasRelatedWork W4287962160 @default.
• W3178434315 hasRelatedWork W6806009 @default.
• W3178434315 hasVolume "74" @default.
• W3178434315 isParatext "false" @default.
• W3178434315 isRetracted "false" @default.
• W3178434315 magId "3178434315" @default.
• W3178434315 workType "article" @default.